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20182022
most citedPNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure

2 citations · 7 across the 6 of their papers we have counts for

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cs.CV2022

GRASP EARTH: Intuitive Software for Discovering Changes on the Planet

Waku Hatakeyama, Shirou Kawakita, Ryohei Izawa +1

Detecting changes on the Earth, such as urban development, deforestation, or natural disaster, is one of the research fields that is attracting a great deal of attention. One promi…

cs.CV20192 cited

Large-Scale Landslides Detection from Satellite Images with Incomplete Labels

Masanari Kimura

Earthquakes and tropical cyclones cause the suffering of millions of people around the world every year. The resulting landslides exacerbate the effects of these disasters. Landsli…

cs.CV20192 cited

PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure

Masanari Kimura

We propose the novel framework for anomaly detection in images. Our new framework, PNUNet, is based on many normal data and few anomalous data. We assume that some noises are added…

cs.CV20191 cited

Intentional Attention Mask Transformation for Robust CNN Classification

Masanari Kimura, Masayuki Tanaka

Convolutional Neural Networks have achieved impressive results in various tasks, but interpreting the internal mechanism is a challenging problem. To tackle this problem, we exploi…

cs.CV20192 cited

Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks

Masanari Kimura, Masayuki Tanaka

Convolutional Neural Networks have achieved impressive results in various tasks, but interpreting the internal mechanism is a challenging problem. To tackle this problem, we exploi…